Information Theory in Computer Vision and Pattern Recognition
Information Theory (IT) can be highly effective for formulating and designing algorithmic solutions to many problems in Computer Vision and Pattern Recognition (CVPR). This text introduces and explores the measures, principles, theories, and entropy estimators from IT underlying modern CVPR algorith...
Κύριοι συγγραφείς: | Escolano, Francisco (Συγγραφέας), Suau, Pablo (Συγγραφέας), Bonev, Boyán (Συγγραφέας) |
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Συγγραφή απο Οργανισμό/Αρχή: | SpringerLink (Online service) |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
London :
Springer London,
2009.
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Παρόμοια τεκμήρια
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Information Processing in Medical Imaging 24th International Conference, IPMI 2015, Sabhal Mor Ostaig, Isle of Skye, UK, June 28 - July 3, 2015, Proceedings /
Έκδοση: (2015) -
Information Processing in Medical Imaging 25th International Conference, IPMI 2017, Boone, NC, USA, June 25-30, 2017, Proceedings /
Έκδοση: (2017) -
Information Processing in Medical Imaging 23rd International Conference, IPMI 2013, Asilomar, CA, USA, June 28–July 3, 2013. Proceedings /
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Outdoor and Large-Scale Real-World Scene Analysis 15th International Workshop on Theoretical Foundations of Computer Vision, Dagstuhl Castle, Germany, June 26 - July 1, 2011. Revised Selected Papers /
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Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging MICCAI 2016 International Workshops, MCV and BAMBI, Athens, Greece, October 21, 2016, Revised Selected Papers /
Έκδοση: (2017)